Modules

This module equips students with essential skills in engineering mathematics and systems modelling, focusing on applying functions, algebra, calculus, linear algebra, differential equations, probability, and statistics to real engineering problems. Students will learn to build and analyse mathematical models, apply statistical and numerical methods, and interpret results - laying a strong foundation for advanced study and engineering practice.

This module runs throughout Semester 1 and 2.

This module develops practical programming skills using Python, covering procedural, event-driven, and object-oriented approaches. Students will learn to design, build, and test software—including data handling, file operations, and interface design—while applying industry-standard coding practices and documenting solutions professionally. Key topics include IDEs, programming fundamentals, control structures, data structures, file I/O, OOP principles, modules, libraries, and error handling, preparing students to model and solve real-world problems computationally.

This module runs throughout Semester 1 and 2.

This module follows on from Engineering Discovery, immersing students in a dynamic, problem-based learning environment, integrating academic knowledge from taught modules with structured professional development. Students will focus on identifying and interpreting user needs as part of their work towards a real-world engineering problem. Projects will be collaborative, culminating in a major applied challenge during the summer period. By navigating complex tasks, they build independence, creativity, and a strong sense of innovation through relevant and impactful solutions. Students will additionally develop crucial skills in teamwork, critical thinking, and professional practice.

This module extends across summer.

This module offers students a rotational rotation within a Dyson team based in the UK. Through direct workplace experience, students will gain practical insight into professional engineering environments, develop key technical and interpersonal skills, and apply their academic learning to real industry challenges. The rotation is designed to enhance students’ understanding of the workplace while steadily growing professionalism and collaboration within Dyson.

This module extends across summer.

This module will place students in open-ended, multi-disciplinary projects that integrate academic content with workplace and professional development. With less direct guidance, students collaborate to address themes, like sustainability, that require careful consideration of aspects such as ethics, risk management, using computational modelling and project management skills. The problem-based approach allows students to innovate and develop as professional engineers. 

This module runs throughout Semester 1 and 2, plus summer.

This module introduces advanced mathematical topics and modelling concepts essential for analysing complex engineering systems. Building on the fundamentals from Year 1, it further develops students’ skills in applying higher-level mathematics and technical computing tools. The module also strengthens problem-solving and modelling abilities to support learning in other modules and workplace rotations. 

This module runs throughout Semester 1 and 2. 

These take place within a Dyson team based in the UK. Students will gain practical experience in a professional engineering environment, further developing their technical and interpersonal skills. By applying academic knowledge to real industry challenges, students continue to build their understanding of the workplace and professionalism while strengthening collaboration within Dyson. 

This rotation extends across summer.

This module equips students with the knowledge of engineering operations in multinational organisations, focusing on leadership, strategy, and resource optimisation across diverse cultural and regulatory environments. Students will build skills in planning, team management, communication, and ethical decision-making, developing the expertise needed to address real-world challenges in global engineering management. Key topics include organisational design, operational improvement, risk management, financial analysis, and cross-cultural communication.

This module introduces students to a wide range of manufacturing approaches, exploring both modern and traditional methods. Key topics include technical considerations, material selection, and common process challenges. The role of metrology in quality assurance is explored, alongside the connection between virtual design and manufacturing capabilities. Students develop an understanding of fundamental electronics design concepts, covering stages from prototyping to production, including aspects like circuit layout, device assembly, and testing. The module encourages students to consider how different manufacturing and electronics assembly techniques are used in diverse contexts, helping them appreciate the factors involved in selecting suitable technologies for various applications. 

This multidisciplinary module explores optimisation techniques across mechanical, software, and electronic engineering, with a focus on applications in manufacturing environments. Students will learn methods for improving efficiency and performance in real-world engineering systems, developing skills to analyse and optimise processes and designs in diverse engineering contexts. 

This module equips students with practical skills in applied machine learning and big data analytics. Students will learn data handling, model selection, predictive modelling, and evaluation through real-world case studies. The course covers ethical considerations, challenges in low-resource environments, and the use of tools for collecting, cleaning, and analysing structured and unstructured data. By the end, students will be prepared to apply machine learning and data analytics in complex, data-driven settings.

This module addresses the challenges of developing large-scale, complex software systems within modern engineering contexts. Students will apply systems thinking to integrate software with other critical system components, considering both holistic and reductionist perspectives. The module covers key activities such as risk management, measurement, and process improvement, providing practical experience through workshops and case studies. Students will engage with multiple viewpoints to develop a broad and critical understanding of software systems engineering.

This module focuses on advanced computational techniques for analysing fluid flow and turbulence, with an emphasis on the finite volume method and the use of industry-standard CFD software. Students will apply numerical methods and turbulence models to simulate and analyse complex fluid dynamics in engineering, gaining practical skills in computer-based modelling and simulation for real-world applications.

This module covers advanced computational methods for analysing the behaviour of solid materials and structures under various loads. Students will learn to apply numerical techniques, such as the finite element method, to simulate stress, strain, and deformation in complex solids using specialised software. The focus is on translating real-world engineering problems into computational models to predict structural performance, enabling effective analysis and design of advanced mechanical systems.

This module explores the dynamics of multi-degree-of-freedom discrete systems and continuous structures like beams and rotating shafts, with a focus on experimental modal analysis to study modal characteristics. Students will investigate the dynamical performance of rotors, addressing phenomena such as synchronous and non-synchronous whirl, unbalance sensitivity, instability thresholds, torsional behaviour, and stress analysis under steady and cyclic loading. The module prepares students to analyse and solve complex vibration and stability problems in rotating machinery.

This module provides a thorough understanding of mobile robots, focusing on wheeled platforms while covering techniques applicable to all mobile robots. Students will learn methods for modelling, planning, control, and localisation in various environments, alongside emerging advancements in robotic perception and on-board intelligence for future applications beyond traditional factory settings.

This module introduces the principles and technologies of energy storage, with a focus on systems supporting renewable energy integration. Students will study electrochemical, electrical, and mechanical storage methods, including batteries, supercapacitors, and fuel cells, along with key technological aspects and simulation strategies. The course provides a solid foundation for designing and analysing energy storage solutions essential for sustainable and low-impact energy systems.

This module introduces the concepts and applications of power electronic devices used for power processing, conversion, and control. Students will learn how power electronics enable efficient operation in a range of systems, from power supplies and industrial equipment to motor drives in appliances, robotics, and electric vehicles. The module provides a foundation for understanding how modern electronic systems manage and condition electric power for diverse applications.

This module explores the modelling, analysis, and control of electric motors such as DC, induction, permanent magnet, and reluctance types for applications in automotive, appliances, and robotics. Students will study thermal effects, losses, performance testing, and key control methods including scalar, vector, and direct torque control. The course also covers power electronic converters, sensor accuracy, and design principles for high power electric drive systems.

This module introduces the physics of sound and sound propagation, covering wave equations, sound signal analysis, and practical measurement techniques. Students will learn approaches for controlling noise and enhancing acoustic performance in products and environments, with attention to relevant legislation. Students will be able to analyse and design for effective noise control and improved acoustics, linking acoustic principles to real-world applications and product design.